Department of Data Science, Sejong University, Seoul, Republic of Korea.
Division of Climate and Environmental Research, Seoul Institute of Technology, Seoul, Republic of Korea.
Environ Monit Assess. 2023 Aug 24;195(9):1075. doi: 10.1007/s10661-023-11732-6.
Since the Seoul metropolitan area is a highly developed megacity, many people are often exposed to high concentrations of particulate matter (PM), with mean aerodynamic diameters equal to or less than 10 μm (PM), in cold seasons. PM concentrations can be influenced by a combination of various factors, including meteorological conditions, anthropogenic emissions, atmospheric chemical reactions, transboundary transport, and geographic characteristics. However, the establishment of an efficient air quality management plan remains challenging due to the limited understanding of the regional PM concentration characteristics. Here, the Seoul metropolitan (Seoul, Gyeonggi-do, and Incheon) and Chungcheongnam-do (Chungcheongnam-do, Daejeon, and Sejong) areas were regionally classified to identify the spatiotemporal air quality in areas where megacities and emission sources are mixed. The four representative regions were determined using the K-means clustering method based on the temporal variations in the observed PM concentrations. The first cluster consisted of small cities in the southern and eastern parts of Gyeonggi-do and Chungcheongnam-do, respectively, while the second cluster consisted of Incheon, West Gyeonggi-do, and Seoul. In addition, the third and fourth clusters included West Chungcheongnam-do and East Gyeonggi-do, which are adjacent to the Yellow Sea and downstream area of the westerly wind, respectively. The characteristics of each cluster during the high PM concentration events are explainable by wind patterns and the local air pollutant emissions, including nitrogen oxides and sulfur oxides. The obtained regional classification was different from the provincial-level administrative division of South Korea. Therefore, the present study is expected to be a scientific basis for overcoming the limitations of air quality management in administrative districts.
由于首尔大都市地区是一个高度发达的特大城市,许多人经常在寒冷季节暴露于高浓度的颗粒物(PM)中,其空气动力学等效直径等于或小于 10μm(PM)。PM 浓度可能受到各种因素的综合影响,包括气象条件、人为排放、大气化学反应、跨境传输和地理特征。然而,由于对区域 PM 浓度特征的了解有限,制定有效的空气质量管理计划仍然具有挑战性。在这里,将首尔大都市(首尔、京畿道和仁川)和忠清南道(忠清南道、大田和世宗)地区进行区域分类,以确定大都市和排放源混合地区的时空空气质量。使用基于观测 PM 浓度时间变化的 K-均值聚类方法确定了四个具有代表性的区域。第一个聚类由京畿道南部和忠清南道东部的小城市组成,而第二个聚类由仁川、京畿道西部和首尔组成。此外,第三和第四个聚类包括与黄海相邻的忠清南道西部和京畿道东部,以及西风的下游地区。在高 PM 浓度事件期间,每个聚类的特征可以通过风向模式和包括氮氧化物和硫氧化物在内的当地空气污染物排放来解释。获得的区域分类与韩国的省级行政划分不同。因此,本研究有望为克服行政区空气质量管理的局限性提供科学依据。